Today the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we propose a novel algorithm named Wireless Heterogeneous Data Mining (WHDM). The entire system architecture consists of three phases: 1) Reading the Database. 2) Stores the value in Tbuf with different patterns. 3) Add the superset in the list and remove the related subset from the list. Finally we find the frequent pattern patterns or knowledge from huge amount of data.We also analyze the better method or rule of data mining services which is more suitable for mobile devices. Our simulation result shows better performance and efficiency on different heterogeneous environment.

Today the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we discuss and analyze the consumptive behavior based on data mining technology. We discuss and analyze different aspects of data mining techniques and their behavior in mobile devices. We also analyze the better method or rule of data mining services which is more suitable for mobile devices. In this paper, we survey several aspects of open service framework based on grid structure which provides the heterogeneous environment for data mining on mobile computing environments.